问HN：你如何知道AI代理会选择你的工具？
YC 最近发布了一段关于代理经济的视频——这个概念认为代理正在成为自主的经济参与者，能够在没有人类输入的情况下选择工具和服务。
这让我思考：如何真正优化代理的发现？对于人类来说，可以通过搜索引擎优化（SEO）、文案写作和口碑传播来实现。但代理只是根据上下文查看可用工具，并根据描述、架构和示例选择一个。
有没有人对此进行过实验？更好的文档是否能显著增加代理调用你工具的频率？你工具描述的措辞在不同模型（如 ZLM、Claude 和 Gemini）之间是否有影响？
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YC recently put out a video about the agent economy - the idea that
agents are becoming autonomous economic actors, choosing tools and
services without human input.<p>It got me thinking: how do you actually optimize for agent discovery?
With humans you can do SEO, copywriting, word of mouth. But an agent
just looks at available tools in context and picks one based on the
description, schema, examples.<p>Has anyone experimented with this? Does better documentation
measurably increase how often agents call your tool? Does the
wording of your tool description matter across different models
(ZLM vs Claude vs Gemini)?